Noninvasive prediction of HCV 4 SVR by 2D US: a randomizedstudy using data mining algorithm

ABSTRACT

Objective and aim:Hepatitis C virus [HCV] can cause both acute and chronic hepatitis. Antiviral therapy is thecornerstone for the treatment of chronic HCV infection once diagnosis is confirmed by PCR. Thegoal of antiviral therapy is to eradicate HCV RNA or attain sustained virological response [SVR]. In many countries worldwide, including Egypt, HCV infection is treated with a combination of pegylated interferon [and ribavirin [RBV]. Liver fibrosis/cirrhosis stage influences theresponse to pegylated interferon [and RBV. Even with new oral the rapies such as Sovaldimany patients have to continue to be on combination regimens of interferon/RBV or RBV alone. In the current study, we aimed to use data mining analysis to determine sonographic picturesthat can successfully predict SVR in HCV-4 patients before the antiviral therapy